EFTA00584023.pdf
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The Final Frontier? Inhibitor Cocktails to Stamp out Cancer
The use of mutation-specific. inhibitor drugs to fight cancer has been growing in popularity around the world. In fact, over the last ten years. the
prescription rate of inhibitors over cytotoxic chemotherapy has more than tripled according to the National Institute of Cancer. Indeed in 2004.
the Journal ofOncology published a revealing table with cytotoxic chemotherapy as the sole treatment: the 5-year survival rate was on average,
less than 2.2% for hundreds of thousands of patients across twenty-two cancer types: the most being 41%, the least, zero. The statistics, though
challenged from every corner, were not surprising considering that cytotoxic chemotherapy is a direct derivative of mustard gas, a WW I and
WW 2 chemical warfare agent.
However, while inhibitors are increasingly and remarkably effective in reducing tumors and cancer cell counts in a short amount of time, and
with a fraction of the toxicity compared to their chemotherapy counterparts, cancer resistance Co inhibitors remains an ongoing problem.
Inhibitor drugs are molecules that bind uniquely to a cancer cells surface and block an aspect of that cells functionality. For example. PARP
inhibitors, designed to stop breast cancer, bind to an enzyme pathway found distinctly on breast cancer cells with a BRAC genetic mutation. The
PARP molecule's attachment prevents the cell from performing DNA repair, leading to its death.
What has baffled doctors however, is that after remission from inhibitor therapy, a resurgence of cancer almost always occurs and often at a more
aggressive rate. Over the last several years. doctors have tackled the problem by treating patients with a secondary inhibitor, only to find
secondary resistance and with a patient. more debilitated by the continuous use of drugs and emergence of aggressive cells.
"It's becoming clear to the medical establishment that a cocktail of inhibitor drugs need to be given simultaneously." Jeffrey Epstein remarked.
founder of the Program for Evolutionary Dynamics at Harvard University. The department or RED, studies the evolution of microbiology with
the use of mathematics, including viruses and diseases such as cancer.
A New York financier and science philanthropist. Jeffrey Epstein funded the PED's huge strides in detailing cancer resistance to inhibitor drugs.
Under the direction of Martin Nowak, a Biology and Mathematics Professor at Harvard. the PED designed mathematical models showing exactly
how a minority of mutated cancer cells arc either immune from the start of treatment, or evolve through reproduction. to become immune to an
inhibitor drug. Their models also showed how even a single mutated cell can quickly evolve to tumor level. For example. approximately half of
non-small cell lung cancer cases with mutations to EGFR TK inhibitors became resistant from a single mutation of the protein 1790M within the
EGFR kinasc domain.
PED's work caught the attention of Dr. Ben Vogelstein. the Director of the Ludwig Ccntcr for Cancer Genetics and Therapeutics at the Sidney
Kimmel Comprehensive Cancer Center at Johns Hopkins University School of Medicine. Dr. Vogelstein was studying resistance to a colon
cancer inhibitor called panitumumab. Enlisting Dr. Nowak's help. Vogelstein and the PED designed a mathematical model from the tumorous
tissue of 28 colon cancer patients at Johns Hopkins about to embark on a course of panitumumab treatment.
Nowak's findings were extraordinary: they showed that even before treatment began, less than .00D1% of cells carried resistance to the inhibitor
but could quickly evolve over the course of a year to predominance and tumor level. Based on these findings, amongst others. Dr. Vogelstein and
Dr. Nowak concluded that a cocktail of inhibitor drugs and in the right proportion, must be used to target all colon cancer mutations.
The challenge however is daunting: each cancer requires its own tailor-made inhibitor, and within each tumor, various inhibitors are needed to
target the variety of mutations. For example, gastric adenocarcinomas, stemming from amplification of the growth factor receptor gene c-MET,
only respond to novel inhibitors of the MET tyrosine kinase, leading to the initiation of a genotype-directed clinical trial. The FDA has approved
a handful of inhibitors, but many more are needed. To date, the survival rate for fully metastasized pancreatic is still only 2%, metastasized lung:
4%. melanoma: 16%. colon: 12%, and distant metastasized breast: 24%.
Secondly, there are few if any, clinical trials that offer inhibitor combinations: the concept is still novel and most pairings with other drugs tend to
be with cytotoxic chemotherapies— since funding to a large degree comes from the pharmaceutical companies. seeking to prolong their
inventories' shelf-life. Less cynically, countless trials conclude that cytotoxics in conjuntive therapy with inhibitors can. with certain cancers.
increase survival by a month or tw•o.
EFTA00584023
"A third major challenge to developing inhibitor cocktails is the need for better mutation analysis." Jeffrey Epstein points out, whose foundation.
the Jeffrey Epstein VI Foundation, funds cutting edge cancer research around the world. PED's studies have shown that most solid tumors
contain 40 to 100 mutations and that only 5 to 15 of these at any given time actually drive tumor growth. Isolating these mutated drivers via
biopsy however can be onerous on the patient. particularly if the biopsy is extracted from an organ. lung or bone and if it has to be repeated over
time. Looming on the horizon is the promising LTC circulatory tumor cell microfluidic chip lest, a blood test developed at Massachusetts General
that can Slate and identify cancer mutations at any given time. To date, the test has identified more than 1,200 cancer-causing genetic mutations,
the largest collection in the world, but the test is not yet FDA approved, nor is it available in any clinical trials.
Lastly. combination proportions will need to be determined as cocktail inhibitor trials become the norm, and that of course, will take time.
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